Doctoral Student in Computational Chemistry 100%

ETH Zürich; Zürich; Vor Ort; CHF 42.000 - 54.000; Vollzeit

Zusammenfassung

ETH Zürich invites applications for a doctoral project in computational chemistry focusing on methodology for classical MD simulations and cheminformatics. The project aims to address challenging biological and chemical questions in collaboration with industry and academia.

Ideal candidates hold a MSc in relevant fields, have MD experience, machine learning interest, and strong Python skills. Proficiency in English and good communication are essential, with a preference for social competence and

Qualifikationen

• Applicants should hold a M.Sc. in computational chemistry, chemistry, biochemistry, or physics.
• Experience with MD simulation and machine learning is highly advantageous.
• Strong programming skills (Python) are desirable.
• Proficiency in English and good communication skills.

Aufgaben

• Project involves MD simulations including enhanced sampling techniques and machine learning.

Kenntnisse

Molecular dynamics

Machine learning

Python

English

Communication

Social competence

Ausbildung

M.Sc. in computational chemistry, chemistry, biochemistry or physics

Tools

Python

Jobbeschreibung

Prof. Dr. Sereina Riniker's group for Computational Chemistry at the Institute of Molecular Physical Science is interested in the development of methodology for classical molecular dynamics simulations and cheminformatics, and in the application of those methods to address challenging biological and chemical questions.

Project background

The main Doctroal project will be in collaboration with a pharmaceutical company and an experimental academic lab focusing on cyclic peptides, protein-binding affinity, and cell permeability.

Job description

• The project will involve molecular dynamics (MD) simulations including enhanced sampling techniques as well as machine learning.

Profile

• Applicants should hold a M.Sc. in computational chemistry, chemistry, biochemistry, or physics.
• Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly advantageous.
• Proficiency in English.
• Good communication skills.
• Good social competence.

We welcome self-motivated candidates with outstanding academic record, excellent communication skills and professional integrity to apply.

We offer

The project offers research and training in computational chemistry and computer-aided drug design. Group members will not only have the opportunities to work with cutting-edge resources in a collaborative environment but also to co-work with international faculty and researchers in academia and industry, stimulating creative ideas and research opportunities.

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Curious? So are we.

Preferred starting date: early 2027.